The higher-order IRT model for global and local person dependence

Kuan Yu JIN; Wen Chung WANG

The higher-order IRT model for global and local person dependence

Kuan Yu JIN
, Wen Chung WANG

Department of Psychology (PS)

Research output: Contribution to conference › Papers

Abstract

Persons from the same clusters may behave more similarly than those from different clusters. In this study, we proposed a higher-order partial credit model for person clustering to quantify global and local person dependence for clustered samples in multiple tests. Simulations studies supported good parameter recovery of the new model.

Original language	English
Publication status	Published - Apr 2016
Event	National Council on Measurement in Education 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice - Washington, United States Duration: 01 Apr 2016 → 11 Apr 2016

Conference

Conference	National Council on Measurement in Education 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice
Abbreviated title	NCME2016
Country/Territory	United States
City	Washington
Period	01/04/16 → 11/04/16

The higher-order IRT model for global and local person dependence. / JIN, Kuan Yu; WANG, Wen Chung.
2016. Paper presented at National Council on Measurement in Education 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice, Washington, District of Columbia, United States.

Research output: Contribution to conference › Papers

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title = "The higher-order IRT model for global and local person dependence",

abstract = "Persons from the same clusters may behave more similarly than those from different clusters. In this study, we proposed a higher-order partial credit model for person clustering to quantify global and local person dependence for clustered samples in multiple tests. Simulations studies supported good parameter recovery of the new model.",

author = "JIN, \{Kuan Yu\} and WANG, \{Wen Chung\}",

year = "2016",

month = apr,

language = "English",

note = "National Council on Measurement in Education 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice, NCME2016 ; Conference date: 01-04-2016 Through 11-04-2016",

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AU - JIN, Kuan Yu

AU - WANG, Wen Chung

PY - 2016/4

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N2 - Persons from the same clusters may behave more similarly than those from different clusters. In this study, we proposed a higher-order partial credit model for person clustering to quantify global and local person dependence for clustered samples in multiple tests. Simulations studies supported good parameter recovery of the new model.

AB - Persons from the same clusters may behave more similarly than those from different clusters. In this study, we proposed a higher-order partial credit model for person clustering to quantify global and local person dependence for clustered samples in multiple tests. Simulations studies supported good parameter recovery of the new model.

M3 - Papers

T2 - National Council on Measurement in Education 2016 Annual Meeting: Foundations and frontiers: Advancing educational measurement for research, policy, and practice

Y2 - 1 April 2016 through 11 April 2016

ER -

The higher-order IRT model for global and local person dependence

Abstract

Conference

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